Evidence map›Paper›PMID 30598440›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2019

Early patterns of skill acquisition and immigrants' specialization in STEM careers.

Marcos A Rangel, Ying Shi

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Marcos A RangelSanford School of Public Policy, Duke University, Durham, NC 27708; marcos.rangel@duke.edu.
Ying ShiCenter for Education Policy Analysis, Stanford University, Stanford, CA 94305.

Funding

Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI Giovanna M Merli · 2015 to 2026
$5.7M
NICHD NIH HHS P2C HD065563
6 · The paper itself

Abstract

We provide empirical evidence of immigrants' specialization in skill acquisition well before entering the US labor market. Nationally representative datasets enable studying the academic trajectories of immigrant children, with a focus on high-school course-taking patterns and college major choice. Immigrant children accumulate skills in ways that reinforce comparative advantages in nonlanguage intensive skills such as mathematics and science, and this contributes to their growing numbers in science, technology, engineering, and math (STEM) careers. These results are compatible with well-established models of skill formation that emphasize dynamic complementarities of investments in learning.

Indexed as

Career ChoiceEmigrants and ImmigrantsModels, TheoreticalAge FactorsFemaleHumansMalecomparative advantagedynamic complementarityimmigrationskill acquisitionSTEM

Identifiers

PMID30598440
PMCPMC6329961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.